Gymnasium/gym/spaces/multi_binary.py

import gym
import numpy as np
from .space import Space


class MultiBinary(Space):
    def __init__(self, n):
        self.n = n
        super(MultiBinary, self).__init__((self.n,), np.int8)
        self.np_random = np.random.RandomState()

    def seed(self, seed):
        self.np_random.seed(seed)

    def sample(self):
        return self.np_random.randint(low=0, high=2, size=self.n).astype(self.dtype)

    def contains(self, x):
        return ((x==0) | (x==1)).all()

    def to_jsonable(self, sample_n):
        return np.array(sample_n).tolist()

    def from_jsonable(self, sample_n):
        return [np.asarray(sample) for sample in sample_n]

    def __repr__(self):
        return "MultiBinary({})".format(self.n)

    def __eq__(self, other):
        return isinstance(other, MultiBinary) and self.n == other.n